The experiment contains 12 samples; the condition of interest has 4 categories: sample1, sample2, sample3, sample4.
The data have been log2 transformed and imputed using the MNAR imputation method before PCA.
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 198 223 293 295 304 273 335 258 295 303
##
## $density
## [1] 0.7129996 0.8030248 1.0550954 1.0622974 1.0947065 0.9830753 1.2063378 0.9290601 1.0622974 1.0911055
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 221 247 326 313 266 276 286 294 268 306
##
## $density
## [1] 0.7884410 0.8811987 1.1630396 1.1166607 0.9489832 0.9846593 1.0203354 1.0488762 0.9561184 1.0916875
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 414 391 359 317 249 227 198 220 208 182
##
## $density
## [1] 1.4972875 1.4141049 1.2983725 1.1464738 0.9005425 0.8209765 0.7160940 0.7956600 0.7522604 0.6582278
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 166 193 265 271 261 295 299 323 332 344
##
## $density
## [1] 0.6038559 0.7020735 0.9639869 0.9858130 0.9494362 1.0731175 1.0876682 1.1749727 1.2077119 1.2513641
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 269 272 289 295 276 264 264 262 250 279
##
## $density
## [1] 0.9889706 1.0000000 1.0625000 1.0845588 1.0147059 0.9705882 0.9705882 0.9632353 0.9191176 1.0257353
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 280 291 321 285 283 256 245 257 260 248
##
## $density
## [1] 1.0271460 1.0674982 1.1775495 1.0454879 1.0381511 0.9391049 0.8987528 0.9427733 0.9537784 0.9097579
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"